Séminaire : Ronan Fablet (IMT Atlantique (Brest)): Learning & Dynamical Systems: application to ocean dynamics
Wednesday 15 May 2019, 10:30am - 11:30am
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Abstract : Learning techniques and data-driven approaches become relevant alternatives to classical model-driven approaches for a large number of application domains, including for the study of phenomena governed by physical laws. They offer new means to take advantage of the potential of observation and / or simulation big data.

In this talk, we will discuss data-driven strategies for the identification, simulation and reconstruction of dynamical systems with illustrations on ocean monitoring applications (e.g., reconstruction of sea surface, maritime traffic surveillance). We will specifically address how neural networks can provide novel means for the data-driven identification of representations of dynamical systems, which are imperfectly observed (e.g., noisy data, partial observation, irregular sampling..). We might further discuss the relevance of dynamical system theory for the understanding of state-of-the-art neural networks, especially residual nets.
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Location salle 105 du LIP6 couloir 25-26 au 1er étage



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